Spain’s capital metro transport operator has commissioned a ventilation system based on Artificial Intelligence aimed to reduce harmful emissions and to improve air quality in metro stations. The ventilation system has been developed and installed in cooperation with Accenture, a company specialising in this technology.
Both Metro de Madrid and Accenture Applied Intelligence specialists have worked together to develop an intelligent system that will use an algorithm to identify the best ventilation balance in each metro station.
The system uses data regarding air temperature, station architecture, frequency of trains, passenger flow and electric energy price to determine the optimum level of necessary ventilation. The system includes both real and simulated data, as well as exterior and underground temperatures with three days in advance in order to achieve optimisation.
The development of this system should facilitate the reduction of carbon dioxide emissions by 1,800 tonnes for Metro de Madrid. Also, the new system will contribute to reducing ventilation energy costs by 25%.
The ventilation system also includes a simulation engine and a maintenance module. It detects the operation faults of ventilators and will allow Metro de Madrid to carry out the equipment maintenance.
Metro de Madrid network has 294 km and 301 stations. Almost 2.3 million passengers use the metro in the Spanish capital every day.
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